Member of Technical Staff - ML Engineer (AI)

Location: Cambridge, MA, United States; hybrid with 3 days onsite

Salary: $250,000–$400,000 annually

Company

Early-stage AI company building infrastructure for advanced AI research and scientific discovery.

What you will do

• Design and build scalable ML training and inference infrastructure.
• Develop distributed training systems, GPU scheduling, and model-serving services.
• Turn research code into reliable, production-ready services and tools.
• Build infrastructure for AI agents, model evaluation, and experimentation.
• Troubleshoot complex infrastructure failures and improve system performance and reliability.

Requirements

• 3+ years of experience building and operating production ML infrastructure.
• Strong background in distributed systems, ML platforms, model serving, or training infrastructure.
• Experience developing systems and tools used by other engineers or researchers.
• Proven ability to diagnose and resolve complex production issues.

Nice to have

• Familiarity with GPU computing, cloud infrastructure, or ML performance optimization.

Culture & Benefits

• Work at the intersection of AI research and large-scale systems engineering.
• Collaborate closely with AI researchers and engineers.
• Own technically challenging infrastructure problems with direct impact on research capabilities.
• Hybrid work with 3 days onsite in Cambridge, MA.

Hiring process

• Apply directly or contact the recruiter for a confidential discussion.